![]() Other queries are always eventual consistent. PHP Server-side scripts Stored procedures user defined functions in Python using Google App Engine Transact SQL Triggers no Callbacks using the Google Apps Engine no Partitioning methods Methods for storing different data on different nodes Sharding Sharding Sharding, horizontal partitioning Replication methods Methods for redundantly storing data on multiple nodes yes Multi-source replication using Paxos yes MapReduce Offers an API for user-defined Map/Reduce methods no yes using Google Cloud Dataflow no Consistency concepts Methods to ensure consistency in a distributed system Immediate Consistency Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). ![]() ODBC Supported programming languages All languages supporting JDBC/ODBC. no no no Secondary indexes restricted yes yes SQL Support of SQL yes does not fully support an SQL-standard SQL-like query language (GQL) yes APIs and other access methods JDBC support for XML data structures, and/or support for XPath, XQuery or XSLT. ![]() Implementation language C C++ Server operating systems hosted hosted hosted Data scheme yes schema-free yes Typing predefined data types such as float or date yes yes, details here yes XML support Some form of processing data in XML format, e.g. ![]() Providers of DBaaS offerings, please contact us to be listed. Editorial information provided by DB-Engines Name Amazon Redshift X exclude from comparison Google Cloud Datastore X exclude from comparison Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse X exclude from comparison Description Large scale data warehouse service for use with business intelligence tools Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server Primary database model Relational DBMS Document store Relational DBMS DB-Engines Ranking measures the popularity of database management systems Trend Chart Score 21.04 Rank #34 Overall #21 Relational DBMS Score 5.59 Rank #73 Overall #12 Document stores Score 27.13 Rank #30 Overall #18 Relational DBMS Website /redshift /datastore /services/synapse-analytics Technical documentation /redshift /datastore/docs /azure/synapse-analytics Developer Amazon (based on PostgreSQL) Google Microsoft Initial release 2012 2008 2016 License Commercial or Open Source commercial commercial commercial Cloud-based only Only available as a cloud service yes yes yes DBaaS offerings (sponsored links) Database as a Service Please select another system to include it in the comparison. Microsoft Azure Synapse Analytics System Properties Comparison Amazon Redshift vs.
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